Pfizer's Early Clinical Development Statistics group is looking for a statistician with an interest in preclinical statistics and collaborating with research scientists in drug discovery and development. The candidate will work closely with laboratory scientists seeking to discover new medicines in a variety of therapeutic areas by supporting the design and analysis of preclinical experiments, covering all aspects of drug discovery from disease target identification, pharmacology studies, animal model development, biomarker development and demonstration of proof-of-concept. The ideal candidate will have a genuine interest in understanding drug target biology to provide effective statistical consultation with biological scientists. ROLE RESPONSIBILITIES
- Collaborate with preclinical laboratory scientists across research units (Immunology & Inflammation, Internal Medicine, Rare Disease, CTI) to design and analyze experiments.
- Summarize statistical analyses in reports and presentations.
- Bring innovative statistical thinking and methods to help drive the enhanced quantitative drug discovery and development paradigm within Pfizer.
- Ensure rigorous approaches are taken to ensure good scientific practices are followed: excellent statistical methods utilized and documented in protocols, analysis plans and manuscripts, and assay methods are appropriately blinded, randomized and designed.
- Serve as a core member of scientific teams responsible for determining strategy and delivering results in a timely and high-quality manner.
- Understand the target biology and improve existing biomarkers, endpoints, derive new endpoints, and develop fit-for-purpose statistical models.
- Where possible, standardize processes and methodologies within and across therapeutic areas.
- Provide statistical expertise on regulatory submissions and ensure quality of deliverables.
OTHER JOB DETAILS
- PhD in Statistics/Biostatistics and at least 3-5 years of pharmaceutical experience or a Master degree in Statistics/Biostatistics and at least 5-8 years of pharmaceutical experience.
- Interest in biology is essential including bachelor's or graduate-level training.
- Previous preclinical/non-clinical statistics experience.
- Must have strong technical competence in statistical techniques.
- Capability to provide statistical leadership to cross-functional teams.
- Ideal candidate will understand design of experiments, assay development, and statistical applications for preclinical research.
- Strong computational skills in R or SAS.
- Strong written and verbal communication skills.
- The ability to work collaboratively with research scientists.
- Demonstrated ability to work effectively as a part of a team.
- Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
- Eligible for Employee Referral Bonus
- Eligible for Relocation Package
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